What are the responsibilities and job description for the Prompt Engineer Lead / Architect position at Kutir Technologies?
Position Title: Prompt Engineer Lead / Architect
Location: Sunnyvale CA
Duration: 6 months
Key Responsibilities:
AI Architecture & Design: Lead the end-to-end architecture of multi-agent systems, moving from initial concept to production-grade deployment on Google Cloud Platform (GCP).
Prompt Engineering & Orchestration: Develop sophisticated prompt engineering frameworks, including system prompts, few-shot templates, and output guardrails. Utilize Chain-of-Thought (CoT) prompting and structured prompt chains for complex reasoning tasks.
Intelligent Dialog Systems: Design conversational interfaces using Dialogflow and Gemini-powered agents to manage inquiry routing and automated workflow orchestration.
System Integration: Architect integrations between LLM platforms (Vertex AI/Gemini) and enterprise CRM/ITSM tools like Salesforce and ServiceNow, specifically focusing on Telecom-grade inquiry response and ticketing workflows.
RAG & Knowledge Retrieval: Build and optimize RAG (Retrieval-Augmented Generation) pipelines grounded in internal client policies and technical documentation.
MLOps & Deployment: Oversee the deployment of microservices using GKE (Google Kubernetes Engine), Cloud SQL, and Cloud Build, ensuring scalable and reliable AI performance.
Required Core Expertise:
LLM Stack: Deep expertise in Gemini, Vertex AI, and LangChain or LlamaIndex.
Enterprise Integration: Proven experience architecting AI solutions that interface with Salesforce and ServiceNow within a Telecom or large enterprise
context.
Agentic Systems: Experience building multi-agent architectures for autonomous task execution and workflow automation.
Data & Search: Mastery of hybrid search, reranking, and vector databases (e.g., Redis, PostgreSQL).
Qualifications:
Experience: 10 years in the AI stack, ranging from classical NLP/NLU to modern generative AI architectures.
Education:
B.Tech in Computer Science, Mathematics, or a related technical field.
Technical Proficiency:
Strong command of Python, Terraform IAC, Docker, and the GCP ecosystem (GKE, Cloud Deploy).
Industry Knowledge: Demonstrated understanding of the Service Now, Salesforce, Net Cracker in Telecommunications service lifecycle, specifically regarding inquiry management and automated support.
Tools & Platforms:
AI/ML: Gemini, Vertex AI, Hugging Face, OpenAI, Claude.
Frameworks: LangChain, LlamaIndex, Dialogflow.
Cloud & Infra: GCP (GKE, Cloud Build), Docker, TensorRT.
Data: Cloud SQL, PostgreSQL, Redis